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Domain Adaptation

977 papers

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Papers

Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering NeurIPS 2022 Robust Domain Adaptation for Pre-trained Multilingual Neural Machine Translation Models EMNLP 2022 Safe Self-Refinement for Transformer-Based Domain Adaptation CVPR 2022 SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation AAAI 2022 SECRET: Self-Consistent Pseudo Label Refinement for Unsupervised Domain Adaptive Person Re-identification AAAI 2022 SimVQA: Exploring Simulated Environments for Visual Question Answering CVPR 2022 Slimmable Domain Adaptation CVPR 2022 SNAIL: Semi-Separated Uncertainty Adversarial Learning for Universal Domain Adaptation ACML 2022 Source-Free Object Detection by Learning To Overlook Domain Style CVPR 2022 Specializing Static and Contextual Embeddings in the Medical Domain Using Knowledge Graphs: Let’s Keep It Simple EMNLP 2022 Spectral Unsupervised Domain Adaptation for Visual Recognition CVPR 2022 Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation AAAI 2022 Subsidiary Prototype Alignment for Universal Domain Adaptation NeurIPS 2022 Synthetic Question Value Estimation for Domain Adaptation of Question Answering ACL 2022 Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection CVPR 2022 Test Time Adaptation via Conjugate Pseudo-labels NeurIPS 2022 Test-Time Training with Masked Autoencoders NeurIPS 2022 The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization CVPR 2022 The Trade-offs of Domain Adaptation for Neural Language Models ACL 2022 Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation EMNLP 2022 Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence CVPR 2022 Towards Improving Calibration in Object Detection Under Domain Shift NeurIPS 2022 Towards Multi-Domain Single Image Dehazing via Test-Time Training CVPR 2022 Towards Robust Adaptive Object Detection Under Noisy Annotations CVPR 2022 Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation AAAI 2022